Dual brain,creativity, and health

Abstract

The importance of the specialized functions of the right and left hemispheres is reviewed, with applications to education, treatment, creativity, and research duly noted. Experimental studies serve as indications of how alexithymia and creativity of the so‐called dual brain has been examined. Patients with com‐missurotomies, patients in psychotherapy, priests, creative subjects, and normal controls have been compared through a variety of experimental methods in terms of hemispheric specialization. The results indicate that creative and healthy subjects tend to have freer access to mutual interaction of both hemispheres without marked inhibitory or disinhibitory effects from either cerebral hemisphere.     

Quantum mechanics, interference, and the brain

In this paper we discuss the use of quantum mechanics to model psychological experiments, starting by sharply contrasting the need of these models to use quantum mechanical nonlocality instead of contextuality. We argue that contextuality, in the form of quantum interference, is the only relevant quantum feature used. Nonlocality does not play a role in those models. Since contextuality is also present in classical models, we propose that classical systems be used to reproduce the quantum models used. We also discuss how classical interference in the brain may lead to contextual processes, and what neural mechanisms may account for it.     

Where brain,body, and world collide

The brain fascinates because it is the biological organ of mindfulness itself. It is the inner engine that drives intelligent behavior. Such a depiction provides a worthy antidote to the once-popular vision of the mind as somehow lying outside the natural order. However, it is a vision with a price. For it has concentrated much theoretical attention on an uncomfortably restricted space; the space of the inner neural machine, divorced from the wider world which then enters the story only via the hygienic gateways of perception and action. Recent work in neuroscience, robotics and psychology casts doubt on the effectiveness of such a shrunken perspective. Instead, it stresses the unexpected intimacy of brain, body and world and invites us to attend to the structure and dynamics of extended adaptive systems — ones involving a much wider variety of factors and forces. Whilst it needs to be handled with some caution, I believe there is much to be learnt from this broader vision. The mind itself, if such a vision is correct, is best understood as the activity of an essentially situated brain: a brain at home in its proper bodily, cultural and environmental niche.     

Emotions, brain development, and psychopathologic vulnerability

Emotional reactivity in infancy and early childhood may play a role in the regulation of brain plasticity and hemispheric organization, which has possible implications for vulnerability to psychopathology. Empiric findings demonstrate the role of attachment patterns in emotional reactivity modulation and limbic circuitry shaping.     

Psychoanalysis, the brain, and amazing grace

Believing that there are many paths to wholeness, the author attempts to investigate three seemingly diverse concepts of healing--spirituality, psychoanalysis, and brain biology. He demonstrates how these three modes may have more in common than often has been historically recognized and this leads him to celebrate that reality.     

Mindfulness,learning and the brain

I have tried to sketch an approach to the complex phenomena that go by the name of ‘mindfulness’ that both does justice to this complexity and depth, and also offers a way of thinking about mindfulness in evolutionary, ecosocial and neural terms: terms that enable us to ask questions like: where did mindfulness come from? What kind of consciousness is it? What was it for, before it was co-opted by spiritual and therapeutic kinds of discourse and practice? And how do brains do it? In essence, I am suggesting that human brains seem to have developed, for good evolutionary reasons, a degree of facility with imaginative empathy and as-if identification; and that mindfulness capitalises on this to create what is probably a uniquely human form of learning—or rather unlearning.     

Classical conditioning,awareness, and brain systems

Memory is composed of several different abilities that are supported by different brain systems. The distinction between declarative (conscious) and nondeclarative (non-conscious) memory has proved useful in understanding the nature of eyeblink classical conditioning – the best understood example of classical conditioning in vertebrates. In delay conditioning, the standard procedure, conditioning depends on the cerebellum and brainstem and is intact in amnesia. Trace conditioning, a variant of the standard procedure, depends additionally on the hippocampus and neocortex and is impaired in amnesia. Recent studies have sharpened the contrast between delay and trace conditioning by exploring the importance of awareness. We discuss these new findings in relation to the brain systems supporting eyeblink conditioning and suggest why awareness is important for trace conditioning but not for delay conditioning.     

Structural brain variation,age, and response time

Response time (RT) generally slows with aging, but the contribution of structural brain changes to this slowing is unknown. We used voxel-based morphometry (VBM) to determine gray matter (GM) and white matter (WM) brain volumes in 9 middle-aged adults (38–58 years old) and 9 seniors (66–82 years old). We correlated brain volumes with RT assessed in both a simple visual stimulus-response task and a visual continuous recognition memory task. No GM correlations with simple RT were significant; there was one WM correlation in the right fusiform gyrus. In the memory task, faster RT was correlated (p<.05, corrected) with less GM in the globus pallidus, the parahippocampus, and the thalamus for both groups. Several Brodmann areas (BA) differed between the groups such that in each area, less GM was correlated with slower RTs in the middle-aged group but with faster RTs in the senior group (BAs 19, 37, 46, 9, 8, 6, 13, 10, 41, and 7). The results suggest that individual differences in specific brain structure volumes should be considered as potential moderating factors in cognitive brain imaging studies.     

Oscillatory brain dynamics, wavelet analysis, and cognition

On the basis of a systems theoretical approach it was hypothesized that event-related potentials (ERPs) are superpositions of stimulus-evoked and time-locked EEG rhythms reflecting resonance properties of the brain (Ba?ar, 1980). This approach led to frequency analysis of ERPs as a way of analyzing evoked rhythms. The present article outlines the basic features of ERP frequency analysis in comparison to ERP wavelet analysis, a recently introduced method of time-frequency analysis. Both methods were used in an investigation of the functional correlates of evoked rhythms where auditory and visual ERPs were recorded from the cat brain. Intracranial electrodes were located in the primary auditory cortex and in the primary visual cortex thus permitting "cross-modality" experiments. Responses to adequate stimulation (e.g., visual ERP recorded from the visual cortex) were characterized by high amplitude alpha (8-16 Hz) responses which were not observed for inadequate stimulation. This result is interpreted as a hint at a special role of alpha responses in primary sensory processing. The results of frequency analysis and of wavelet analysis were quite similar, with possible advantages of wavelet methods for single-trial analysis. The results of frequency analysis as performed earlier were thus confirmed by wavelet analysis. This supports the view that ERP frequency components correspond to evoked rhythms with a distinct biological significance.     

Neural modeling,functional brain imaging,and cognition

The richness and complexity of data sets acquired from PET or fMRI studies of human cognition have not been exploited until recently by computational neural-modeling methods. In this article, two neural-modeling approaches for use with functional brain imaging data are described. One, which uses structural equation modeling, estimates the functional strengths of the anatomical connections between various brain regions during specific cognitive tasks. The second employs large-scale neural modeling to relate functional neuroimaging signals in multiple, interconnected brain regions to the underlying neurobiological time-varying activities in each region. Delayed match-to-sample (visual working memory for form) tasks are used to illustrate these models.     

Decision theory,reinforcement learning,and the brain

Decision making is a core competence for animals and humans acting and surviving in environments they only partially comprehend, gaining rewards and punishments for their troubles. Decision-theoretic concepts permeate experiments and computational models in ethology, psychology, and neuroscience. Here, we review a well-known, coherent Bayesian approach to decision making, showing how it unifies issues in Markovian decision problems, signal detection psychophysics, sequential sampling, and optimal exploration and discuss paradigmatic psychological and neural examples of each problem. We discuss computational issues concerning what subjects know about their task and how ambitious they are in seeking optimal solutions; we address algorithmic topics concerning model-based and model-free methods for making choices; and we highlight key aspects of the neural implementation of decision making.